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~Get Your Files Here !/1. Detecting Parkinson’s Disease – Machine Learning Project/11. Parkinson’s Disease Lecture10.mp4 59.4 MB
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【影视】 Deep Learning Image Classification with Tensorflow in 2023

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[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/18 - Deploying the Image classification model/84 - Building API with Fastapi.mp4 707.7 MB
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[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/17 - Transformers in Vision/72 - Understanding VITs.mp4 442.5 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/2 - Tensors and variables/4 - Initialization and Casting.mp4 426.3 MB
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[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/13 - Modern Convolutional Neural Networks/62 - resnet.mp4 368.9 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/4 - Building convnets with tensorflow/25 - How and Why Convolutional Neural Networks Work.mp4 365.6 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/8 - Data Augmentation/43 - Cutmix Data augmentation with TensorFlow 2 and intergration in tfdata.mp4 360.9 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/11 - MLOps with Weights and Biases/54 - Dataset Versioning with Weights and Biases and TensorFlow 2.mp4 345.5 MB
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[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/12 - Human Emotions Detection/59 - Tensorflow records.mp4 307.9 MB
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【文档书籍】 Anderson J. Java Illuminated. An Active Learning Approach 6ed 2023

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【影视】 [ DevCourseWeb.com ] Udemy - Sunders Oracle Netsuite Erp Foundation E Learning - Vol 5

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【文档书籍】 [ CourseMega.com ] PluralSight - Deep Learning Literacy - Practical Application

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~Get Your Files Here !/Implement Natural Language Processing for Word Embedding By Axel Sirota/02/demos/implement-nlp-word-embedding/git/objects/4a/3514299ba0a3b955c45827893190d5e4093ce8 458.7 MB
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~Get Your Files Here !/Implement Natural Language Processing for Word Embedding By Axel Sirota/4. Fine-tuning Word Representations/2. Demo - Fine Tuning Glove and FastText.mp4 67.6 MB
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~Get Your Files Here !/Implement Natural Language Processing for Word Embedding By Axel Sirota/3. Training Word Representations/3. Demo - Using OHE.mp4 33.5 MB
~Get Your Files Here !/Build an Object Detection Model with Python By Gabrielle Davelaar/2. Preparing Data for Model Training/3. Demo - Bringing It into Practice.mp4 31.4 MB
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~Get Your Files Here !/Implement Natural Language Processing for Word Embedding By Axel Sirota/3. Training Word Representations/7. Demo - Reanalyze Sentiment with a Network-based Embedding.mp4 27.7 MB
~Get Your Files Here !/Implement Image Captioning with Recurrent Neural Networks By abdul-yousaf/3. Preparing Data for Image Captioning Models/2. Demo - Load and Explore the Dataset.mp4 26.3 MB
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~Get Your Files Here !/Build a Rating Recommendation Engine with Collaborative Filtering By Pratheerth Padman/3. Memory-based Collaborative Filtering/5. Demo - User-based Collaborative Filtering.mp4 23.0 MB
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【影视】 Coursera - Machine Learning on Google Cloud Specialization - 5 course series

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launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_04_lab-demo-intro-to-linear-regression.mp4 43.2 MB
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_05_logistic-regression.mp4 34.5 MB
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art-science-ml/05_vertex-vizier-hyperparameter-tuning/02_hyperparameter-tuning/02_01_vertex-ai-vizier-hyperparameter-tuning.mp4 24.4 MB
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google-machine-learning/08_summary/01_course-summary/01_04_resource-all-slides_HGML_CourseSlides.pdf 22.7 MB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_06_lab-demo-training-an-automl-video-classification-model.mp4 22.7 MB
art-science-ml/09_course-summary/01_course-summary/01_04_resource-all-slides_T-MLGCP5-A _ MLE_CourseSlides.pdf 22.5 MB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_01_improve-data-quality.mp4 19.3 MB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_04_embeddings.mp4 18.7 MB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_04_lab-demo-using-an-image-dataset-to-train-an-automl-model.mp4 18.7 MB
feature-engineering/03_module-2-raw-data-to-features/02_overview/02_01_overview-of-feature-engineering.mp4 17.2 MB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/03_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers/03_01_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers.mp4 16.9 MB
google-machine-learning/07_responsible-ai-development/03_equality-in-metrics-and-data/03_03_how-to-find-errors-in-your-dataset-using-facets.mp4 16.3 MB
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_02_linear-regression.mp4 15.3 MB
launching-machine-learning/07_generalization-and-sampling/03_sampling/03_02_demo-splitting-datasets-in-bigquery.mp4 15.3 MB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/05_creating-a-feature-store/05_01_creating-a-feature-store.mp4 15.1 MB
launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_04_evaluate-automl-models.mp4 15.0 MB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_07_build-a-data-strategy-around-ml.mp4 14.6 MB

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Chapter 13 Introduction to Deep Learning/001. Introduction to Deep Learning.mp4 262.8 MB
Chapter 04 Exploratory Data Analysis/009. EDA Project 7.mp4 138.3 MB
Chapter 03 Learning Python/010. Python Sets 1.mp4 136.7 MB
Chapter 06 Logistic Regression/006. Model Evaluation - AUC-ROC.mp4 127.3 MB
Chapter 03 Learning Python/023. Pandas DataFrame 5.mp4 126.1 MB
Chapter 12 Unsupervised Learning using K-Means Clustering/002. K-Means Clustering Computation.mp4 120.4 MB
Chapter 01 Introduction to Machine Learning/004. History of Machine Learning.mp4 115.6 MB
Chapter 06 Logistic Regression/004. Data Analysis and Feature Engineering.mp4 108.3 MB
Chapter 05 Linear Regression/010. Data Preparation and Analysis 3.mp4 104.6 MB
Chapter 02 Statistical Techniques/008. Hypothesis Testing.mp4 100.4 MB
Chapter 03 Learning Python/016. Pandas Series 2.mp4 98.3 MB
Chapter 06 Logistic Regression/002. Logit Model.mp4 96.7 MB
Chapter 01 Introduction to Machine Learning/007. Challenges in Machine Learning.mp4 95.0 MB
Chapter 02 Statistical Techniques/004. Histograms and Normal Approximation.mp4 93.4 MB
Chapter 09 Random Forest Ensemble/003. Model Building and Hyperparameter Tuning using Grid Search CV.mp4 92.2 MB
Chapter 05 Linear Regression/006. OLS Assumptions and Testing.mp4 91.4 MB
Chapter 03 Learning Python/007. Python Tuples.mp4 90.3 MB
Chapter 11 Dimensionality Reduction - Principal Component Analysis (PCA)/001. Principal Component Analysis - Concepts.mp4 90.0 MB
Chapter 08 Decision Tree Classifier/006. Model Optimization using Grid Search Cross Validation.mp4 89.7 MB
Chapter 03 Learning Python/003. Python Variables and Conditions.mp4 88.6 MB

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41 - Kernel PCA/372 - Kernel PCA in R.mp4 418.7 MB
29 - Apriori/271 - Apriori in R Step 3.mp4 282.1 MB
36 - Artificial Neural Networks/339 - ANN in R Step 1.mp4 238.7 MB
37 - Convolutional Neural Networks/345 - dataset.zip 232.0 MB
36 - Artificial Neural Networks/341 - ANN in R Step 3.mp4 212.6 MB
20 - Naive Bayes/197 - Bayes Theorem.mp4 204.7 MB
29 - Apriori/268 - Apriori in Python Step 4.mp4 201.8 MB
43 - Model Selection/375 - Grid Search in Python.mp4 196.8 MB
37 - Convolutional Neural Networks/359 - CNN in Python FINAL DEMO.mp4 195.1 MB
35 - Part 8 Deep Learning/324 - What is Deep Learning.mp4 186.8 MB
39 - Principal Component Analysis PCA/365 - PCA in R Step 1.mp4 184.3 MB
37 - Convolutional Neural Networks/355 - CNN in Python Step 2.mp4 182.9 MB
40 - Linear Discriminant Analysis LDA/370 - LDA in R.mp4 173.3 MB
32 - Upper Confidence Bound UCB/287 - Upper Confidence Bound in R Step 3.mp4 172.7 MB
29 - Apriori/270 - Apriori in R Step 2.mp4 169.8 MB
44 - XGBoost/378 - XGBoost in Python.mp4 149.5 MB
37 - Convolutional Neural Networks/358 - CNN in Python Step 5.mp4 147.0 MB
37 - Convolutional Neural Networks/349 - Step 2 Pooling.mp4 146.2 MB
34 - Part 7 Natural Language Processing/307 - Natural Language Processing in Python Step 5.mp4 143.5 MB
39 - Principal Component Analysis PCA/363 - PCA in Python Step 1.mp4 143.0 MB

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Shrivastava A. Learning Microsoft Power Apps. Building Business Apps 2024.pdf 70.9 MB
Code.zip 19.8 MB
Readme.txt 957 Bytes

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06 - Adder Circuits/005 Combining IO Buses.mp4 367.0 MB
04 - Multiplexer Circuits/002 Multiplexer Building by Basic Gates.mp4 236.4 MB
08 - Arithmetic Logic Unit Design ( ALU)/002 Behavioral ALU.mp4 224.5 MB
10 - VHDL Project - Data path and Controller/010 Project Implementation Part 9.mp4 217.1 MB
10 - VHDL Project - Data path and Controller/006 Project Implementation Part 5.mp4 197.7 MB
09 - Sequential Design/009 D Flip Flop Behavioral.mp4 186.7 MB
14 - Arduino Interrupt/003 Interrupt Application Part 1.mp4 184.1 MB
08 - Arithmetic Logic Unit Design ( ALU)/004 ALU Logic Operations.mp4 180.7 MB
15 - Arduino LCD Interfacing/003 LCD Application Part 2.mp4 169.7 MB
04 - Multiplexer Circuits/003 Multiplexer using VHDL.mp4 159.2 MB
10 - VHDL Project - Data path and Controller/004 Project Implementation Part 3.mp4 151.4 MB
10 - VHDL Project - Data path and Controller/008 Project Implementation Part 7.mp4 136.6 MB
08 - Arithmetic Logic Unit Design ( ALU)/005 ALU Integer Multiplication and Division.mp4 136.5 MB
08 - Arithmetic Logic Unit Design ( ALU)/003 ALU Overflow handling.mp4 134.7 MB
09 - Sequential Design/005 RS Latch Demo.mp4 132.2 MB
01 - The Story Of The Bit/007 Understanding The Differences.mp4 128.4 MB
31 - CNN Implementation/001 Preparing Dataset.mp4 125.5 MB
19 - IoT Android Control/005 Wiring Analog.mp4 121.3 MB
31 - CNN Implementation/006 CNN Part 5.mp4 121.3 MB
20 - IoT MQTT and Node Red/006 Callbacks And ASCII.mp4 120.7 MB

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